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How to find the percentage for frequencies stored in a vector with two decimal places in R?
To find the percentage for frequencies stored in a vector with two decimal places can be done with the help of sum function and round function. For example, if we have a vector of frequencies say x then the percentage of these frequencies can be found by using the command round((x/sum(x))*100,2). Check out the below examples to understand how it works.
Example1
Frequency1<-sample.int(5) Frequency1
Output
[1] 1 2 3 4 5
round((Frequency1/sum(Frequency1))*100,2)
[1] 6.67 13.33 20.00 26.67 33.33
Example2
Frequency2<-sample.int(10) Frequency2
Output
[1] 7 2 1 8 5 4 6 9 3 10
round((Frequency2/sum(Frequency2))*100,2)
[1] 12.73 3.64 1.82 14.55 9.09 7.27 10.91 16.36 5.45 18.18
Example3
Frequency3<-sample.int(20) Frequency3
Output
[1] 3 16 10 1 19 9 5 15 13 20 18 6 8 11 12 2 7 14 4 17
round((Frequency3/sum(Frequency3))*100,2)
[1] 1.43 7.62 4.76 0.48 9.05 4.29 2.38 7.14 6.19 9.52 8.57 2.86 3.81 5.24 5.71 [16] 0.95 3.33 6.67 1.90 8.10
Example4
Frequency4<-sample.int(100) Frequency4
Output
[1] 45 98 35 85 60 51 64 90 10 27 55 42 72 86 24 14 28 38 [19] 99 16 17 80 30 77 2 23 40 52 91 73 43 29 15 50 54 74 [37] 47 49 3 37 20 1 65 56 48 75 78 19 34 59 93 53 87 68 [55] 33 22 62 89 12 71 95 36 11 81 58 76 61 70 25 44 32 31 [73] 8 67 57 83 92 100 4 96 63 97 46 82 5 7 41 84 66 6 [91] 94 9 69 88 26 18 39 21 79 13
round((Frequency4/sum(Frequency4))*100,2)
[1] 0.89 1.94 0.69 1.68 1.19 1.01 1.27 1.78 0.20 0.53 1.09 0.83 1.43 1.70 0.48 [16] 0.28 0.55 0.75 1.96 0.32 0.34 1.58 0.59 1.52 0.04 0.46 0.79 1.03 1.80 1.45 [31] 0.85 0.57 0.30 0.99 1.07 1.47 0.93 0.97 0.06 0.73 0.40 0.02 1.29 1.11 0.95 [46] 1.49 1.54 0.38 0.67 1.17 1.84 1.05 1.72 1.35 0.65 0.44 1.23 1.76 0.24 1.41 [61] 1.88 0.71 0.22 1.60 1.15 1.50 1.21 1.39 0.50 0.87 0.63 0.61 0.16 1.33 1.13 [76] 1.64 1.82 1.98 0.08 1.90 1.25 1.92 0.91 1.62 0.10 0.14 0.81 1.66 1.31 0.12 [91] 1.86 0.18 1.37 1.74 0.51 0.36 0.77 0.42 1.56 0.26
Example5
Frequency5<-sample.int(200) Frequency5
Output
[1] 108 170 30 72 27 70 6 171 65 61 99 147 5 195 165 44 53 41 [19] 120 123 168 68 103 153 92 151 79 175 93 200 163 130 80 78 185 182 [37] 136 49 128 179 126 38 75 100 145 96 36 29 111 62 116 196 9 167 [55] 129 89 102 3 84 52 48 24 107 118 7 112 94 50 33 19 86 143 [73] 150 162 131 104 47 54 113 71 12 197 137 26 106 67 193 18 22 192 [91] 159 187 57 66 148 76 64 174 140 34 20 194 186 166 160 124 25 127 [109] 77 11 88 155 156 45 110 114 144 39 105 46 146 40 173 58 141 164 [127] 101 199 138 2 122 32 82 121 28 180 37 87 198 177 10 134 133 139 [145] 178 152 4 73 69 190 42 154 184 56 125 115 109 135 176 59 157 132 [163] 119 43 90 98 85 63 13 181 97 117 161 55 17 35 189 95 142 60 [181] 188 149 51 16 15 1 172 14 31 21 74 91 81 83 191 183 169 23 [199] 8 158
round((Frequency5/sum(Frequency5))*100,2)
[1] 0.54 0.85 0.15 0.36 0.13 0.35 0.03 0.85 0.32 0.30 0.49 0.73 0.02 0.97 0.82 [16] 0.22 0.26 0.20 0.60 0.61 0.84 0.34 0.51 0.76 0.46 0.75 0.39 0.87 0.46 1.00 [31] 0.81 0.65 0.40 0.39 0.92 0.91 0.68 0.24 0.64 0.89 0.63 0.19 0.37 0.50 0.72 [46] 0.48 0.18 0.14 0.55 0.31 0.58 0.98 0.04 0.83 0.64 0.44 0.51 0.01 0.42 0.26 [61] 0.24 0.12 0.53 0.59 0.03 0.56 0.47 0.25 0.16 0.09 0.43 0.71 0.75 0.81 0.65 [76] 0.52 0.23 0.27 0.56 0.35 0.06 0.98 0.68 0.13 0.53 0.33 0.96 0.09 0.11 0.96 [91] 0.79 0.93 0.28 0.33 0.74 0.38 0.32 0.87 0.70 0.17 0.10 0.97 0.93 0.83 0.80 [106] 0.62 0.12 0.63 0.38 0.05 0.44 0.77 0.78 0.22 0.55 0.57 0.72 0.19 0.52 0.23 [121] 0.73 0.20 0.86 0.29 0.70 0.82 0.50 0.99 0.69 0.01 0.61 0.16 0.41 0.60 0.14 [136] 0.90 0.18 0.43 0.99 0.88 0.05 0.67 0.66 0.69 0.89 0.76 0.02 0.36 0.34 0.95 [151] 0.21 0.77 0.92 0.28 0.62 0.57 0.54 0.67 0.88 0.29 0.78 0.66 0.59 0.21 0.45 [166] 0.49 0.42 0.31 0.06 0.90 0.48 0.58 0.80 0.27 0.08 0.17 0.94 0.47 0.71 0.30 [181] 0.94 0.74 0.25 0.08 0.07 0.00 0.86 0.07 0.15 0.10 0.37 0.45 0.40 0.41 0.95 [196] 0.91 0.84 0.11 0.04 0.79
Example6
Frequency6<-sample.int(150) Frequency6
Output
[1] 35 130 70 145 32 80 119 132 58 16 137 110 97 94 91 129 72 43 [19] 33 148 69 29 98 90 127 48 150 40 24 55 59 17 112 21 115 5 [37] 75 146 18 34 124 143 135 67 139 73 41 84 141 64 20 82 93 10 [55] 108 111 134 142 122 4 68 87 12 107 57 104 133 38 30 11 8 144 [73] 7 117 95 101 85 2 1 121 116 62 102 71 106 79 28 140 63 39 [91] 44 22 131 128 89 125 9 46 76 6 56 13 14 51 86 123 105 114 [109] 120 49 136 81 92 66 100 77 25 138 99 47 103 27 31 118 61 53 [127] 52 149 23 88 3 126 109 78 74 113 45 26 36 37 19 42 96 50 [145] 54 15 60 83 65 147
round((Frequency6/sum(Frequency6))*100,2)
[1] 0.31 1.15 0.62 1.28 0.28 0.71 1.05 1.17 0.51 0.14 1.21 0.97 0.86 0.83 0.80 [16] 1.14 0.64 0.38 0.29 1.31 0.61 0.26 0.87 0.79 1.12 0.42 1.32 0.35 0.21 0.49 [31] 0.52 0.15 0.99 0.19 1.02 0.04 0.66 1.29 0.16 0.30 1.09 1.26 1.19 0.59 1.23 [46] 0.64 0.36 0.74 1.25 0.57 0.18 0.72 0.82 0.09 0.95 0.98 1.18 1.25 1.08 0.04 [61] 0.60 0.77 0.11 0.94 0.50 0.92 1.17 0.34 0.26 0.10 0.07 1.27 0.06 1.03 0.84 [76] 0.89 0.75 0.02 0.01 1.07 1.02 0.55 0.90 0.63 0.94 0.70 0.25 1.24 0.56 0.34 [91] 0.39 0.19 1.16 1.13 0.79 1.10 0.08 0.41 0.67 0.05 0.49 0.11 0.12 0.45 0.76 [106] 1.09 0.93 1.01 1.06 0.43 1.20 0.72 0.81 0.58 0.88 0.68 0.22 1.22 0.87 0.42 [121] 0.91 0.24 0.27 1.04 0.54 0.47 0.46 1.32 0.20 0.78 0.03 1.11 0.96 0.69 0.65 [136] 1.00 0.40 0.23 0.32 0.33 0.17 0.37 0.85 0.44 0.48 0.13 0.53 0.73 0.57 1.30
Updated on: 06-Mar-2021
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